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Push model using huggingface_hub.
Browse files- README.md +6 -2
- config.json +1 -1
- model.safetensors +1 -1
README.md
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- arxiv:2409.04185
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- model_hub_mixin
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- pytorch_model_hub_mixin
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base_model: EleutherAI/pythia-70m-deduped
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---
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# Model Card for
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A Multi-Layer Sparse Autoencoder (MLSAE) trained on the residual stream activation
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vectors from [EleutherAI/pythia-70m-deduped](https://huggingface.co/EleutherAI/pythia-70m-deduped) with an
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expansion factor of R = 64 and sparsity k = 32, over 1 billion
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tokens from [monology/pile-uncopyrighted](https://huggingface.co/datasets/monology/pile-uncopyrighted).
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### Model Sources
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- **Repository:** <https://github.com/tim-lawson/mlsae>
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- arxiv:2409.04185
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- model_hub_mixin
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- pytorch_model_hub_mixin
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---
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# Model Card for tim-lawson/sae-pythia-70m-deduped-x64-k32-tfm-layers-5
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A Multi-Layer Sparse Autoencoder (MLSAE) trained on the residual stream activation
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vectors from [EleutherAI/pythia-70m-deduped](https://huggingface.co/EleutherAI/pythia-70m-deduped) with an
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expansion factor of R = 64 and sparsity k = 32, over 1 billion
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tokens from [monology/pile-uncopyrighted](https://huggingface.co/datasets/monology/pile-uncopyrighted).
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This model is a PyTorch Lightning MLSAETransformer module, which includes the underlying
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transformer.
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### Model Sources
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- **Repository:** <https://github.com/tim-lawson/mlsae>
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config.json
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"max_length": 2048,
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"model_name": "EleutherAI/pythia-70m-deduped",
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"skip_special_tokens": true,
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"standardize":
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"tuned_lens": false
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}
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"max_length": 2048,
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"model_name": "EleutherAI/pythia-70m-deduped",
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"skip_special_tokens": true,
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"standardize": false,
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"tuned_lens": false
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}
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model.safetensors
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